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Tomáš; ČEP, Robert a PAGÁČ, Marek. Mobile device for cooling of machine tools with exhaustion and filtration of oil mist. Rijswijk: European patent office, 2019.
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and Reconstruction of Mobile Robot Trajectories with LSTM Autoencoders: A Data-Driven Framework for Real-World Deployment. Online. AI. 2025, roč. 6, č. 12. ISSN
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2013. [24] J. Oleś, J. Kindracki, T. Rybus, et al., “A 2D Microgravity Test Bed for the Validation of Space Robot Control Algorithms,” Journal of Automation, Mobile
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Ciocarlie, and K. Hsiao, “Grasp evaluation with gras- pable feature matching,” in RSS Workshop on Mobile Manipulation: Learning to Manipulate, 2011. [27] I. Lenz,
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interaction domain. We are also influenced by research on collaborative planning with pedestrians for navigating a mobile robot in a social environment [16], [17].
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pneumatic actuators in mobile robots,” in 2004 IEEE International Conference on Robotics and Automation, 2004. Proceedings. ICRA ’04, 2004, vol. 4, p. 3634–3639
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and W. Burgard, “Socially compliant mobile robot navigation via inverse reinforcement learning,” The International Journal of Robotics Research, vol. 35, no. 11,
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a mobile robot,” IEEE journal on robotics and automation, vol. 2, no. 1, pp. 14–23, 1986. [13] N. Nilsson, “Teleo-reactive programs for agent control,” Journal of
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B. Leibe, K. Schindler, and L. Van Gool, “Robust multiperson tracking from a mobile platform,” IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.
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computation complexity, which can be used on portable mobile devices. Compared with his method, our optimization-based algorithm outperforms in term of accuracy,
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Banerjee, S. J. Teller, and N. Roy, “Understanding natural language commands for robotic navigation and mobile manipulation.” in The Twenty-Fifth AAAI Conference
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Banerjee, S. J. Teller, and N. Roy, “Understanding natural language commands for robotic navigation and mobile manipulation.” in The Twenty-Fifth AAAI Conference
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IEEE Intl. Symp. on Information Theory, 2007, pp. 616–620. [7] E. Miluzzo, N. D. Lane, A. T. Campbell, and R. Olfati-Saber, “CaliBree: A self-calibration system for mobile
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Vrijlandt, T., Antonides, M., Cloosterman, and P. L. Mastenbroek, “Principle and design of a mobile arm support for people with muscular weakness”, Journal of Rehabilitat
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a mobile augmented reality (AR) demo shows the feasibility of potential applications. I. INTRODUCTION A complete robotic perception system consists of robust state
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monitoring the ground assets communicating across a first responders mobile ad-hoc network (MANET) as shown in Figure 4. In this initial study to validate the concept,
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17-19, 2017, Kouty nad Desnou, Czech Republic. 2017. s. 1-6. ISBN 978-1-5090-6406-9. Detail BOROVEC, Karel; GORECKI, Jerzy a OCHODEK, Tadeáš. Tests and Comparison of Two Mobile
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2014. s. 1-7. ISBN 978-80-260-5375-0. Detail HEJDUK, Stanislav; WITAS, Karel; LÁTAL, Jan; VITÁSEK, Jan a BOCHEZA, Jiří. Use of the RGBY model for indoor mobile visible
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